Triple

T17677553
Position Surface form Disambiguated ID Type / Status
Subject Joe Armstrong E440677 entity
Predicate familyName P18 FINISHED
Object Armstrong NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Armstrong | Statement: [Joe Armstrong, familyName, Armstrong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armstrong
Context triple: [Joe Armstrong, familyName, Armstrong]
  • A. Armstrong chosen
    Armstrong is a common English-language surname borne by numerous notable figures across fields such as science, exploration, music, and sports.
  • B. Armstrong
    Armstrong is a small city in the North Okanagan region of British Columbia, Canada, known for its agricultural surroundings and rural community character.
  • C. Armstrong and Miller
    Armstrong and Miller is a British comedy duo best known for their sketch television series featuring Alexander Armstrong and Ben Miller.
  • D. Borman
    Borman is a surname most notably associated with Frank Borman, the American astronaut who commanded the historic Apollo 8 mission orbiting the Moon.
  • E. Neil A. Armstrong
    Neil A. Armstrong was an American astronaut, naval aviator, and aerospace engineer best known as the first person to walk on the Moon during NASA’s Apollo 11 mission.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6e959c819092d9d33e79bd51f7 completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 10:01 a.m.